Paper Citation Record · LEDGER

Differentiable Filtering for Learning Hidden Markov Models

As of 10 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2511.10571.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2511.10571 v2

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-17T22:08:00.315412Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

verified exact8
verified fuzzy7
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 638e607c-d8ac-498e-8c10-a9a7e9356858 · outbound

This paper cites Byron Boots, Sajid M Siddiqi, and Geoffrey J Gordon.

Differentiable Filtering for Learning Hidden Markov Models Byron Boots, Sajid M Siddiqi, and Geoffrey J Gordon

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T22:12:09.871692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6f4b4a35-3a68-4829-9cde-ec4d42d5011a · outbound

This paper cites Large-scale machine learning with stochastic gradient descent.

Differentiable Filtering for Learning Hidden Markov Models Large-scale machine learning with stochastic gradient descent

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T22:12:09.869600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 660f050b-8e77-4a15-8400-ca029e1db926 · outbound

This paper cites Bernstein, J., Wang, Y .-X., Azizzadenesheli, K., and Anand- kumar, A.

Differentiable Filtering for Learning Hidden Markov Models Bernstein, J., Wang, Y .-X., Azizzadenesheli, K., and Anand- kumar, A

Reference 3

Resolution: verified exact; doi, observed 2026-05-17T22:10:21.717124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 81487e76-4e56-4d35-8b77-1a734cda887e · outbound

This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901.

Differentiable Filtering for Learning Hidden Markov Models Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T22:12:09.865437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7b76cfb7-842f-4b27-adec-f30d02f9639d · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Differentiable Filtering for Learning Hidden Markov Models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-17T22:10:22.712482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 79fb60c1-f1e7-43ac-8c47-4b6a0131e205 · outbound

This paper cites Transformer feed-forward layers are key-value memories.

Differentiable Filtering for Learning Hidden Markov Models Transformer feed-forward layers are key-value memories

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T22:12:09.873968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ac2129b5-eddf-4513-8b3a-87e01e078280 · outbound

This paper cites On Limitation of Transformer for Learning HMMs.

Differentiable Filtering for Learning Hidden Markov Models On Limitation of Transformer for Learning HMMs

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:10:22.706441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a6511b99-04bf-47ed-80d2-1aa0f015f8e3 · outbound

This paper cites From Small to Large Language Models: Revisiting the Federalist Papers.

Differentiable Filtering for Learning Hidden Markov Models From Small to Large Language Models: Revisiting the Federalist Papers

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:10:22.715750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dbdef9a2-50b2-4eaa-bf04-0e12705af24b · outbound

This paper cites Decoupled Weight Decay Regularization.

Differentiable Filtering for Learning Hidden Markov Models Decoupled Weight Decay Regularization

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-17T22:10:22.718938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 245ea047-03d5-486b-9bed-a029a1b1da86 · outbound

This paper cites Long Range Arena: A Benchmark for Efficient Transformers.

Differentiable Filtering for Learning Hidden Markov Models Long Range Arena: A Benchmark for Efficient Transformers

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:10:22.703326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 61de5783-83bd-4c45-b4cd-022eb6d364c4 · outbound

This paper cites DKFNet: Differentiable Kalman Filter for Field Inversion and Machine Learning.

Differentiable Filtering for Learning Hidden Markov Models DKFNet: Differentiable Kalman Filter for Field Inversion and Machine Learning

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:10:22.709477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3bdcbed8-eb66-4aee-9473-5bdfbd5d1b42 · outbound

This paper cites •Related Work:A review of related literature on learning state-space models and connections to neural network architectures.

Differentiable Filtering for Learning Hidden Markov Models •Related Work:A review of related literature on learning state-space models and connections to neural network architectures

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T22:12:09.867605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ad7ff3be-b982-4b25-8dda-4a2d20923393 · outbound

This paper cites an unresolved cited work.

Differentiable Filtering for Learning Hidden Markov Models Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-05-17T22:12:09.878578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4e3f8ca3-47d6-4f7b-ae64-080fee5d8187 · outbound

This paper cites Sec- tion B.2 describes the spectral algorithm adapted from thespectral-learningrepository, extended with a custom probability prediction function.

Differentiable Filtering for Learning Hidden Markov Models Sec- tion B.2 describes the spectral algorithm adapted from thespectral-learningrepository, extended with a custom probability prediction function

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T22:12:09.880830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a3c2feb4-9dcc-456b-9ee6-2050f66e00ab · outbound

This paper cites 15 CHENCHANGMEHTA B.3.

Differentiable Filtering for Learning Hidden Markov Models 15 CHENCHANGMEHTA B.3

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T22:12:09.876489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 231d933e-b8a8-4986-a9f5-570e59246eb1 · outbound

This paper cites an unresolved cited work.

Differentiable Filtering for Learning Hidden Markov Models Unresolved cited work

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:10:22.721964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.